Climate Change and Human Health Literature Portal
OBJECTIVE: To analyse the epidemiological profile of 488 cases of leptospirosis in Rio de Janeiro, Brazil between 1997 and 2002, using a variety of methods of spatial epidemiology, to establish alert guidelines in general hospitals, which might be a tool to improve diagnosis and treatment of leptospirosis to reduce lethality rates. METHODS: Scan statistics identified six space-time clusters, which comprised a range of 2 to 28 cases per cluster. Generalized linear mixed models were used to evaluate risk factors for a cluster case which incorporated individual characteristics and spatial information on environmental and climactic factors in a single model frame. RESULTS: Cluster case events were associated with heavy rainfall (OR 3.71; 95% CI 1.83-7.51). The model did not identify socioeconomic or environmental covariates that significantly influence the risk of developing a cluster rather than non-cluster case. CONCLUSION: Clustering of leptospirosis in this urban setting appears to be due to transmission during heavy rainfall.
Resource Description
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Extreme Weather-Related Event or Disaster, Water Quality
- Extreme Weather-Related Event or Disaster, Water Quality: Flood
- Extreme Weather-Related Event or Disaster, Water Quality: Marine/Freshwater Pathogen
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Urban
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Non-United States
- Non-United States: Central/South America
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Infectious Disease
- Infectious Disease: Waterborne Disease
- Waterborne Disease: Leptospirosis
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Research Article
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Adaptation, Communication, Health Sector Influence, Sociodemographic Vulnerability, Vulnerable Population
- Adaptation, Communication, Health Sector Influence, Sociodemographic Vulnerability, Vulnerable Population: Adaptation Co-Benefit/Co-Harm, Vulnerability Assessment
- Adaptation, Communication, Health Sector Influence, Sociodemographic Vulnerability, Vulnerable Population: Health Professional
- Adaptation, Communication, Health Sector Influence, Sociodemographic Vulnerability, Vulnerable Population: Low Socioeconomic Status, Workers